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A Global Optimization BP Neural Networks
Author(s): 
Pages: 211-212,255
Year: Issue:  2
Journal: APPLICATION RESEARCH OF COMPUTERS

Keyword:  L-M算法填充函数全局优化BP网络;
Abstract: 将L-M算法与填充函数法相结合,提出一种训练前向网络的混合型全局优化GOBP(Global Optimization BP)算法.L-M算法的收敛速度快,利用它先得到一个局部极小点,然后利用填充函数算法跳出局部最小,得到一个更低的局部极小点,重复计算即可得到全局最优点.经实验验证,该算法收敛速度很快,避免了局部收敛,而且性能稳定.
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